Correlation Between Food Life and Thai Beverage
Can any of the company-specific risk be diversified away by investing in both Food Life and Thai Beverage at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Food Life and Thai Beverage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Food Life Companies and Thai Beverage Public, you can compare the effects of market volatilities on Food Life and Thai Beverage and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Food Life with a short position of Thai Beverage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Thai Beverage.
Diversification Opportunities for Food Life and Thai Beverage
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Food and Thai is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Thai Beverage Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Beverage Public and Food Life is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Food Life Companies are associated (or correlated) with Thai Beverage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Beverage Public has no effect on the direction of Food Life i.e., Food Life and Thai Beverage go up and down completely randomly.
Pair Corralation between Food Life and Thai Beverage
Assuming the 90 days horizon Food Life Companies is expected to generate 0.97 times more return on investment than Thai Beverage. However, Food Life Companies is 1.03 times less risky than Thai Beverage. It trades about 0.17 of its potential returns per unit of risk. Thai Beverage Public is currently generating about -0.03 per unit of risk. If you would invest 2,060 in Food Life Companies on December 27, 2024 and sell it today you would earn a total of 700.00 from holding Food Life Companies or generate 33.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Food Life Companies vs. Thai Beverage Public
Performance |
Timeline |
Food Life Companies |
Thai Beverage Public |
Food Life and Thai Beverage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Thai Beverage
The main advantage of trading using opposite Food Life and Thai Beverage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Thai Beverage can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Thai Beverage will offset losses from the drop in Thai Beverage's long position.Food Life vs. Information Services International Dentsu | Food Life vs. UNIVERSAL MUSIC GROUP | Food Life vs. Japan Medical Dynamic | Food Life vs. Tencent Music Entertainment |
Thai Beverage vs. Diageo plc | Thai Beverage vs. Pernod Ricard SA | Thai Beverage vs. Constellation Brands | Thai Beverage vs. Brown Forman |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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